Abstract
The purpose of this paper is to propose a MLD (mixed logical dynamical) model to predict the back bead width of pulsed GTAW (gas tungsten arc welding) process for varied welding speed. Variation of welding speed is considered as discrete input and the nonlinear welding process is approximated using piecewise linear models. An MLD model is then established for pulsed GTAW process with varied welding speed.
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References
Chen, S.B., Lou, Y.J., Wu, L., et al.: Intelligent methodology for sensing, modeling and control of pulsed GTAW: Part1-Bead-on-plate welding. Welding Journal 79(6), 151–163 (2000)
Zhang, Y.M., Kovacevic, R., Li, L.: Adaptive control of full penetration gas tungsten arc welding. IEEE Transaction on Control Systems Technology 4(4), 394–403 (1996)
Li, W.H., Chen, S.B., Wang, B.: A variable precision rough set based modeling method for pulsed GTAW. The International Journal of Advanced Manufacturing Technology 36(11), 1072–1079 (2008)
Bemporad, A., Morari, M.: Control of systems integrating logic, dynamics, and constraints. Automatica 35(3), 407–428 (1999)
Lu, S., Fujii, H., Nogi, K.: Effects of CO2 shielding gas additions and welding speed on GTA weld shape. Journal of Materials Science 40(9-10), 2481–2485 (2005)
Ericsson, M., Nylen, P.: A look at the optimization of robot welding speed based on process modeling. Welding Journal 86(8), 238–244 (2007)
Torrisi, F.D., Bemporad, A.: HYSDEL-a tool for generating computational hybrid models for analysis and synthesis problems. IEEE Transactions on Control Systems Technology 12(2), 235–249 (2004)
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© 2011 Springer-Verlag Berlin Heidelberg
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Ma, H., Chen, S. (2011). Study on the MLD Modeling Method of Pulsed GTAW Process for Varied Welding Speed. In: Tarn, TJ., Chen, SB., Fang, G. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Electrical Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19959-2_33
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DOI: https://doi.org/10.1007/978-3-642-19959-2_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19958-5
Online ISBN: 978-3-642-19959-2
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